Use Cases

Flexo unlocks powerful capabilities for DeFi innovation, enabling automation, risk assessment, and AI-driven decision-making. Below are some key use cases with real-world implementation examples.

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1. Automated Portfolio Management

Flexo helps automate portfolio management by continuously analyzing token performance and adjusting holdings based on risk scores and market trends.

1.1 Key Features

Continuous Monitoring – Use getToken() to track token performance in real-time. Automated Adjustments – Implement logic to rebalance portfolios based on risk scores.

1.2 Example Implementation

import FlexoClient from 'flexo-sdk';

async function managePortfolio(tokenAddresses: string[]) {
  const client = new FlexoClient();
  const threshold = 50; // Risk score threshold

  for (const address of tokenAddresses) {
    const analysis = await client.getToken(address);
    const action = analysis.data.score < threshold ? 'Sell' : 'Hold';
    console.log(`${action}: ${analysis.data.tokenName}`);
  }
}

managePortfolio(['token1', 'token2', 'token3']);

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2. Predictive Market Analysis

Leverage AI-driven predictive analytics to forecast market trends and detect potential market shifts before they happen.

2.1 Key Features

AI-Driven Predictions – Use the chat() method for real-time market forecasts. Early Warning System – Implement AI-powered alerts for trend shifts.

2.2 Example Implementation

import { FlexoClient, ChatMessage } from 'flexo-sdk';

async function predictiveMarketAnalysis(agentId: string) {
  const client = new FlexoClient();
  const messages: ChatMessage[] = [{ role: 'user', content: 'Predict market trends for token ABC' }];
  
  const response = await client.chat(agentId, messages);
  console.log('Market Prediction:', response.data.response);
}

predictiveMarketAnalysis('agent-id');

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3. Decentralized Insurance Underwriting

Flexo enables data-driven insurance underwriting by assessing the risk of insuring specific tokens or portfolios.

3.1 Key Features

Risk Evaluation – Use getToken() to analyze risk before underwriting policies. Dynamic Pricing – Adjust insurance premiums based on token risk scores.

3.2 Example Implementation

import FlexoClient from 'flexo-sdk';

async function underwriteInsurance(tokenAddress: string) {
  const client = new FlexoClient();
  const analysis = await client.getToken(tokenAddress);

  const riskLevel = analysis.data.score < 50 ? 'High' : 'Low';
  const premium = riskLevel === 'High' ? 0.05 : 0.02; // Example premium rates

  console.log(`Token: ${analysis.data.tokenName}, Risk Level: ${riskLevel}, Premium: ${premium}`);
}

underwriteInsurance('token-address');

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4. Dynamic Liquidity Provisioning

Optimize liquidity management by analyzing token performance and dynamically adjusting liquidity pool contributions.

4.1 Key Features

Liquidity Analysis – Use getToken() to monitor liquidity health. Automated Adjustments – Optimize liquidity allocation based on risk assessments.

4.2 Example Implementation

import FlexoClient from 'flexo-sdk';

async function adjustLiquidity(tokenAddress: string) {
  const client = new FlexoClient();
  const analysis = await client.getToken(tokenAddress);

  if (analysis.data.liquidity < 10000) { // Example liquidity threshold
    console.log(`Adding liquidity to: ${analysis.data.tokenName}`);
    // Implement liquidity addition logic
  } else {
    console.log(`Liquidity is sufficient for: ${analysis.data.tokenName}`);
  }
}

adjustLiquidity('token-address');

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Empowering DeFi with AI & Analytics

These examples showcase how Flexo’s AI and analytics capabilities can be leveraged for:

✅ Automated DeFi strategies ✅ Risk management ✅ Real-time decision-making

Whether managing portfolios, predicting market trends, underwriting insurance, or optimizing liquidity, Flexo provides the tools to innovate in DeFi with confidence.